code: def skiperror(
      f: Callable, return_x: bool = False, return_val=np.nan
  ) -> Callable:
      """Decorator for escaping any error in a function.
  
      Examples:
          ```python
          df[column].apply(
              skiperror(transform, return_val=3, return_x=False))
          ```
  
          Can also be used as shown below
  
          ```python
          @skiperror(return_val=3, return_x=False)
          def transform(x):
              pass
          ```
  
      Args:
          f: The function to be wrapped.
          return_x: Whether or not the original value that caused error
              should be returned.
          return_val: The value to be returned when an error hits.
              Ignored if `return_x` is `True`.
  
      Returns:
          The wrapped function.
      """
  
      def _wrapped(x, *args, **kwargs):
          try:
              return f(x, *args, **kwargs)
          except Exception:  # skipcq: PYL-W0703
              if return_x:
                  return x
              return return_val
  
      return _wrapped
  
imports: from __future__ import annotations
  import importlib
  import os
  import socket
  import sys
  from functools import singledispatch, wraps
  from pathlib import Path
  from typing import Any, Callable, Dict, Iterable, List, Union
  from warnings import warn
  import numpy
  import pandas
label_desc: Use image node_id 16 for calling a global function with example usage: skiperror(f, return_x, return_val) and returns: _wrapped, f, return_val, x